AIMC Topic: Algorithms

Clear Filters Showing 24161 to 24170 of 28713 articles

Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Graph Neural Networks (GNNs) have gained considerable prominence in semi-supervised learning tasks in processing graph-structured data, primarily owing to their message-passing mechanism, which largely relies on the availability of clean labels. Howe...
Graph Neural Networks Neural Networks, Computer Algorithms Humans
View on PubMed DOI

Ternary spike-based neuromorphic signal processing system.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Deep Neural Networks (DNNs) have been successfully implemented across various signal processing fields, resulting in significant enhancements in performance. However, DNNs generally require substantial computational resources, leading to significant ...
Algorithms Action Potentials Speech Humans Signal Processing, Computer-Assisted Electroencephalography Neural Networks, Computer Neurons
View on PubMed DOI

Augmenting sparse behavior data for user identity linkage with self-generated by model and mixup-generated samples.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
The user identity linkage task aims to associate user accounts belonging to the same individual by utilizing user data. This task is relevant in domains such as recommendation systems, where user-generated content (i.e., behavioral data) serves as th...
Behavior Neural Networks, Computer Humans Algorithms
View on PubMed DOI

FedELR: When federated learning meets learning with noisy labels.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Existing research on federated learning (FL) usually assumes that training labels are of high quality for each client, which is impractical in many real-world scenarios (e.g., noisy labels by crowd-sourced annotations), leading to dramatic performanc...
Machine Learning Neural Networks, Computer Federated Learning Algorithms
View on PubMed DOI

Heterogeneous Graph Neural Network with Adaptive Relation Reconstruction.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Topological structures of real-world graphs often exhibit heterogeneity involving diverse nodes and relation types. In recent years, heterogeneous graph learning methods utilizing meta-paths to capture composite relations and guide neighbor selection...
Graph Neural Networks Neural Networks, Computer Algorithms Humans
View on PubMed DOI

ADAMT: Adaptive distributed multi-task learning for efficient image recognition in Mobile Ad-hoc Networks.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Distributed machine learning in mobile adhoc networks faces significant challenges due to the limited computational resources of devices, non-IID data distribution, and dynamic network topology. Existing approaches often rely on centralized coordinat...
Algorithms Image Processing, Computer-Assisted Machine Learning Pattern Recognition, Automated Neural Networks, Computer Humans
View on PubMed DOI

Exponential stability of infinite-dimensional impulsive stochastic systems with Poisson jumps under aperiodically intermittent control.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
This paper studies the problem of mean square exponential stability (ES) for a class of impulsive stochastic infinite-dimensional systems with Poisson jumps (ISIDSP) using aperiodically intermittent control (AIC). It provides a detailed analysis of i...
Algorithms Computer Simulation Neural Networks, Computer Stochastic Processes Poisson Distribution
View on PubMed DOI

Revisiting face forgery detection towards generalization.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Face forgery detection aims to distinguish AI generated fake faces with real faces. With the rapid development of face forgery creation algorithms, a large number of generative models have been proposed, which gradually reduce the local distortion ph...
Artificial Intelligence Generalization, Psychological Neural Networks, Computer Face Algorithms Humans
View on PubMed DOI

Complex quantized minimum error entropy with fiducial points: theory and application in model regression.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Minimum error entropy with fiducial points (MEEF) has gained significant attention due to its excellent performance in mitigating the adverse effects of non-Gaussian noise in the fields of machine learning and signal processing. However, the original...
Algorithms Regression Analysis Machine Learning Entropy Neural Networks, Computer Humans
View on PubMed DOI

HCPI-HRL: Human Causal Perception and Inference-driven Hierarchical Reinforcement Learning.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
The dependency on extensive expert knowledge for defining subgoals in hierarchical reinforcement learning (HRL) restricts the training efficiency and adaptability of HRL agents in complex, dynamic environments. Inspired by human-guided causal discove...
Humans Neural Networks, Computer Perception Reinforcement, Psychology Reward Algorithms
View on PubMed DOI
Popular Topics
Recent Journals